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Visual Geometry Group, University of Oxford 11email:
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SynCity 3000 can generate intricate 3D scenes from a single image, overcoming the limitations of traditional methods in scene coherence and detail.
Training on Syn4D could unlock breakthroughs in dynamic scene understanding, where current datasets fall short in providing dense, complete, and accurate geometric annotations.
Diffusion models struggle with multi-object generation not because of imbalanced concept representation, but primarily due to scene complexity and a surprising difficulty in counting, especially when training data is limited.
